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Field
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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processing of energy data. Orchestration of services using containers and microservices (Docker, Kubernetes). Optimization of communication networks using Software Defined Networking (SDN). Development
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design and execute experiments using lung cancer and lung infection Organ Chips. Develop, optimize, and characterize human lung microphysiological models for translational studies. Analyze and interpret
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with improved energetic efficiency (e.g., arXiv:2408.06418); Optimization of thermodynamic protocols: designing thermal machines that exploit collective quantum phenomena to achieve higher energy